Jump to navigation
Mohamed Saleh
TSE, November 18, 2021, 16:00–16:45, room Auditorium 3room Auditorium 3
Koen Jochmans
TSE, November 18, 2021, 14:45–15:30, room Auditorium 3room Auditorium 3
Anouch Missirian
TSE, November 18, 2021, 14:00–14:45, room Auditorium 3room Auditorium 3
Alex Smolin
TSE, November 18, 2021, 11:15–12:00, room Auditorium 3room Auditorium 3
Tatyana Deryugina
TSE, November 18, 2021, 10:00–10:45, room Auditorium 3room Auditorium 3
Kohei Kawaguchi (Hong Kong University of Science and Technology)
November 16, 2021, 14:00–15:00, Zoom Meeting
In the mobile app market, multiple monetizing policies such as paid and free ad-sponsored models co-exist. This paper proposes a novel model of ad-sponsored media with endogenous business model choice, that is applicable to the mobile app industry. The model defines an equilibrium over consumers’...
Alberto Salvo (National University of Singapore)
Toulouse: TSE, November 15, 2021, 11:00–12:15, Online
We show that the prevalence of prolonged contests in professional tennis drops sharply when the ambient environment deteriorates through heat or pollution. We develop a dynamic model of multi-battle competition to investigate how the disutility from a protracted competition...
Helsinki, November 15 to November 15, 2021
Fabien Curto Millet (Google)
Toulouse: TSE, November 12, 2021, 15:00–17:30, Zoom (online)
Brent Mittelstadt (Oxford Internet Institute, University of Oxford,)
TSE & IAST, November 10, 2021, 12:30–13:30, Zoom Meeting
Western societies are marked by diverse and extensive biases and inequality that are unavoidably embedded in the data used to train machine learning. Algorithms trained on biased data will, without intervention, produce biased outcomes and increase the inequality experienced by historically...